Latest Research in Distributed, Parallel, and Cluster Computing

Top Research Topics in Distributed, Parallel, and Cluster Computing

• Machine Learning — 15 papers
• Distributed, Parallel, and Cluster Computing — 14 papers
• Hardware Architecture — 4 papers
• Computer Vision and Pattern Recognition — 3 papers
• Machine Learning — 2 papers
• Domain Adaptation and Few-Shot Learning — 2 papers
• Artificial Intelligence — 2 papers
• Adversarial Robustness in Machine Learning — 2 papers
• Computation and Language — 2 papers
• Caching and Content Delivery — 2 papers

Highest-Cited Papers

1. The Output-Space Hypothesis: Enumerative Equivalence Checking for Tensor Programs
2. PixelFlow: Token-Level Workload Management for Efficient Distributed DiT Serving
3. MiX: Micro-Inverted-Scaling for End-to-End Low-Bit Vision-Language Model Acceleration
4. Zero-I/O Fault Recovery for Sharded Deep Learning via Dynamic Framework Dependency Rebinding
5. Finite-Sample Unbiased Variance of MMD under Unbalanced Sampling: Exact Estimation and Quasi-Linear Computation
6. Optimal Post-processing of Synthetic Data for Pearson Correlation Matching
7. s-MDM: Generative Virtualization of Multi-Device Hardware Variations for Portable DL-SCA
8. RayOrch: Programming and Executing Lineage-Controlled Multi-Grain Dataflows for Foundation-Model Data Preparation
9. Epsilon-Nash Equilibria in History-Dependent SA-MDPs
10. NCCLZ: Compression-Enabled GPU Collectives with Decoupled Quantization and Entropy Coding
11. TAST: Task-Aware Sparse Topology Learning for Multi-Task Recommendation
12. FairLRF: Achieving Fairness through Sparse Low Rank Factorization
13. Online Allocation using Few Samples
14. FairCompressAgent: An Agentic Framework for Fairness-Aware Model Compression for FPGA Deployment
15. DeepSeek-V4-Flash on AMD gfx90a: Correctness Recovery and Inference Performance Engineering
16. The World Model Hardware Accelerator
17. DMA-Latte: Expanding the Reach of DMA Offloads to Latency-bound ML Communication
18. Partition-Aware Scheduling for Mobile Heterogeneous Inference Co-Execution
19. Affinity-Aware Sharding for Delayed Tensor Parallelism
20. Distributed Mechanistic Interpretability at Scale: Activation Streaming, Split-Layer Inference, and Distributed Sparse Autoencoder Training